def __push_samples_into_relevant_pipelines__(self,configs,mockdb):
"""
Provides the interface from which all post casava sample pipelines are run.
"""
if configs["system"].get("Logging","debug") is "True":
print " Starting post casava sample pipelines for " + self.flowcell_key
print " Determining Sample dirs"
sample_dirs = list_project_sample_dirs(self.output_dir.split(":"))
if configs["system"].get("Logging","debug") is "True":
print " Samples: " + str(sample_dirs)
flowcell_dir_name = os.path.basename(self.output_dir)
automation_parameters_config = MyConfigParser()
automation_parameters_config.read(configs["system"].get("Filenames","automation_config"))
fastqc_pipeline_config = MyConfigParser()
fastqc_pipeline_config.read(configs["system"].get("Pipeline","FastQCPipeline"))
for project in sample_dirs:
for sample in sample_dirs[project]:
#running_location = identify_running_location_with_most_currently_available(configs,storage_devices)
running_location = "Speed"
parsed = parse_sample_sheet(configs['system'],mockdb,sample_dirs[project][sample][0])
if configs["system"].get("Logging","debug") is "True":
print " Pushing fastqc pipeline for " + sample
fastqc_pipeline = mockdb["FastQCPipeline"].__new__(configs['system'],input_dir=sample_dirs[project][sample][0],flowcell_dir_name=flowcell_dir_name,project=parsed['project_name'],pipeline_config=fastqc_pipeline_config,seq_run_key=self.seq_run_key,**parsed)
description_dict = parse_description_into_dictionary(parsed['description'])
if 'Pipeline' in description_dict:
pipeline_key = description_dict['Pipeline']
else:
description_pieces = parsed['description'].split('-')
pipeline_key = description_pieces[-1]
pipeline_name = automation_parameters_config.safe_get("Pipeline",pipeline_key)
if pipeline_name is None:
continue
if configs["system"].get("Logging","debug") is "True":
print "Starting " + pipeline_name + " for " + sample
pipeline = mockdb[pipeline_name].__new__(configs['system'],input_dir=sample_dirs[project][sample][0],pipeline_key=pipeline_key,seq_run_key=self.seq_run_key,project=parsed['project_name'],flowcell_dir_name=flowcell_dir_name,**parsed)
def things_to_do_if_initializing_pipeline_with_input_directory(configs,storage_devices,mockdb,source_dir,pipeline_name=None,base_output_dir=None,combine_projects=True):
if combine_project:
sample_dirs["dummy_project"] = list_sample_dirs(source_dir)
else:
sample_dirs = list_project_sample_dirs(source_dir)
target_config = MyConfigParser()
target_config.read(configs["system"].get("Filenames","target_config"))
for project in sample_dirs:
for sample in sample_dirs[project]:
running_location = identify_running_location_with_most_currently_available(configs,storage_devices)
parsed = parse_sample_sheet(configs['system'],mockdb,sample_dirs[project][sample][0])
if base_output_dir is None:
base_output_dir = configs['pipeline'].get('Common_directories','archive_directory')
automation_parameters_config = MyConfigParser()
automation_parameters_config.read(configs["system"].get("Filenames","automation_config"))
description_dict = parse_description_into_dictionary(parsed['description'])
if 'Pipeline' in description_dict:
pipeline_key = description_dict['Pipeline']
else:
description_pieces = parsed['description'].split('_')
pipeline_key = description_pieces[-1]
pipeline_name_for_sample = automation_parameters_config.safe_get("Pipeline",pipeline_key)
if not pipeline_name_for_sample == pipeline_name:
continue
mockdb[pipeline_name].__new__(configs['system'],input_dir=sample_dirs[project][sample][0],pipeline_config=configs["pipeline"],project=parsed['project_name'],pipeline_key=pipeline_key,**parsed)
flowcell_dict = mockdb['SequencingRun'].__attribute_value_to_object_dict__('flowcell_key')
flowcell_dict = mockdb['SequencingRun'].__attribute_value_to_object_dict__('flowcell_key')
if parsed['flowcell'].key in flowcell_dict:
seq_run = flowcell_dict[parsed['flowcell'].key]
pass
else:
try:
base_dir = get_sequencing_run_base_dir(source_dir)
[date,machine_key,run_number,side,flowcell_key] = parse_sequencing_run_dir(base_dir)
machine = mockdb['HiSeqMachine'].__get__(configs['system'],machine_key)
run_type = determine_run_type(base_dir)
seq_run = mockdb['SequencingRun'].__new__(configs['system'],flowcell,machine,date,run_number,output_dir=base_dir,side=side,run_type=run_type)
fill_demultiplex_stats(configs['system'],mockdb,seq_run.output_dir,flowcell,machine)
except:
pass
return 1